PROJECTS
Artificial Intelligence (AI), Machine Learning (ML), and Computer Vision systems are transforming industries—but their success depends on access to vast, diverse, and high-quality data. For many organizations, especially in sectors like Defence, Space, Healthcare, and Fintech, the data needed to train and test these systems is either non-existent, classified, or too sensitive to use. Traditional data annotation is time-consuming, costly, and prone to human error, slowing down innovation and increasing security risks.
AltData, an Australian pioneer in synthetic data generation, partnered with DataCube to overcome these barriers. AltData’s Data Generator platform creates highly realistic, metadata-rich synthetic datasets tailored for AI and ML applications. By simulating real-world scenarios and providing error-free annotations, AltData enables rapid, secure, and scalable model development—without relying on sensitive or inaccessible data.
DataCube collaborated with AltData to:
Develop synthetic datasets for document detection and computer vision tasks
Generate semi-synthetic and fully synthetic data for advanced analytics
Support customer engagements across the Middle East and Europe, delivering actionable insights for smarter business decisions
Creating intelligent automation solutions to streamline business processes.
Building AI-powered software products tailored to specific industry needs.
Synthetic data with accurate metadata enabled rapid development and testing of algorithms, reducing time-to-market.
Clients avoided the risks of using classified or sensitive real-world data.
Solutions spanned Defence & Space (e.g., shoreline monitoring, object detection), Robotics, Healthcare, and Fintech.
Multiple successful deployments with customers in the Middle East and Europe.
